SpEED matrix by multiplying Jensen-Shannon divergence and geodesic distance (in km) – efficient version

Returns a SpEED matrix, which is the product of Jensen-Shannon divergence and geographic distance matrix

Usage

speedmat.jsdist.m(
  data,
  formula,
  outcome = "outcome",
  treatment = "treatment",
  caliper_s = NULL,
  caliper_jsd = NULL,
  scale = FALSE,
  zero_adjust = 1
)

Arguments

data

sf object. Should include outcome, treatment, and coordinates

formula

formula. in y ~ x form.

outcome

character(1). Outcome variable name. default is 'outcome'

treatment

character(1). Treatment variable name. Default is 'treatment'

caliper_s

numeric(1). Caliper for distance

caliper_jsd

numeric(1). Caliper for divergence value

scale

logical(1). Min-max scaling for both distance and divergence, resulting in range [0,1]

zero_adjust

numeric(1). The minimum after min-max scaling.

Author

Insang Song (sigmafelix@hotmail.com)